Gen AI Lead

Role: Gen AI Lead Location: San Jose, CA (Onsite) Duration: Contract Job Description: We are seeking a highly skilled and innovative AI Engineer to join our team and lead the development of intelligent AI agents and Retrieval-Augmented Generation (RAG)-based applications. This role is ideal for someone passionate about pushing the boundaries of applied AI, with hands-on experience in building scalable, production-grade Generative AI (GenAI) systems and advanced Copilot Studio agent capabilities. Key Responsibilities: • Demonstrate advanced programming expertise, particularly in Python, with deep proficiency in AI-centric libraries such as TensorFlow, PyTorch, and Hugging Face Transformers. • Architect and implement Retrieval-Augmented Generation (RAG) pipelines to enhance model performance using external knowledge sources, including document chunking, embedding generation, and retrieval systems. • Design, develop, and deploy Custom AI agents capable of autonomous decision-making and task execution using LLMs and multi-modal models. • Implement and manipulate complex algorithms essential for developing and optimizing generative AI models. • Manage data pipelines involving data pre-processing, augmentation, and synthetic data generation to enhance model training and performance. • Ensure robust data handling practices including cleaning, labeling, and structuring datasets for generative AI workflows. • Design MS Copilot Studio Agent Builder advanced skills, including custom plugin development, adaptive orchestration of multiple AI skills and APIs, contextual memory management, dynamic prompt engineering, and secure data handling. • Agent Orchestration: Build multi-turn agents that adapt and chain AI skills and APIs. • Trigger Management: Configure message, data, scheduled, and webhook triggers. • Automation Workflow: Design workflows with Power Automate for task automation. • Flow Design: Create logical, scalable flows for complex business processes. • Tool Integration: Use Copilot’s built-in connectors to integrate enterprise apps and services seamlessly.